DocumentCode :
1992090
Title :
Ongoing challenges in automated cyberphysical cross-domain design
Author :
Arya, K. ; Poverelli, J. ; Brewer, F.
fYear :
2013
fDate :
28-31 Jan. 2013
Firstpage :
341
Lastpage :
347
Abstract :
Cyberphysical systems span domains across mechanical design, controls/signal processing theory, and computational architecture domains. Through an automated holistic design methodology, the interdepen-dence between design domains can be exploited to yield cheaper, higher quality, distributed systems. This paper highlights preliminary results and challenges in ongoing research towards construction of physical structures and architectures in tandem. It targets deformable structural networks approximated through damped mass-spring networks. The method iteratively couples information from multiple domains. For instance, information about the physical model´s eigen-frequencies determine real-time deadlines in the architecture. Vice versa, architectural limitations (e.g. how quickly sensor information can be gathered and synchronized) affects selection of physical materials and dictates sensor network design. We discuss the challenges and preliminary analysis for a first-order model, and briefly give broader context for the research.
Keywords :
distributed processing; embedded systems; iterative methods; automated cyberphysical cross-domain design; automated holistic design methodology; computational architecture domain; damped mass-spring network; deformable structural network; distributed system; eigen-frequency; first-order model; iterative method; mechanical design; sensor network design; signal processing theory; Accelerometers; Computational modeling; Computer architecture; Mathematical model; Program processors; Springs; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Networking and Communications (ICNC), 2013 International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-5287-1
Electronic_ISBN :
978-1-4673-5286-4
Type :
conf
DOI :
10.1109/ICCNC.2013.6504106
Filename :
6504106
Link To Document :
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